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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. Which of the following options is CORRECT?

A) InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.
B) InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
C) InfoSphere BigInsights is based on the nonforked core Hadoop distribution, but backwards compatibility with the Apache Hadoop project is not guaranteed, therefore applications written for Hadoop might not run on BigInsights.
D) InfoSphere BigInsights is based on the nonforked core Hadoop distribution, and backwards compatibility with the Apache Hadoop project will always be maintained. Therefore, all applications written for Hadoop will run on BigInsights.

2. What does ?Big Data? represent?

A) Only data stored in the BIGDATA table in any relational database.
B) A database feature capable of converting pre-existing structured data into unstructured raw data.
C) A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
D) Large amounts of unstructured, semi-structured, and structured raw data that cannot be stored, processed or analyzed using traditional relational data warehouses.

3. Which of the following options are CORRECT (Choose two)?

A) Users can develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).
B) Users can deploy existing data mining scoring models in Streams applications for real time insights as opposed to running those models on persistent, or stored data.
C) InfoSphere Streams perform complex analytics on data at rest.
D) The Stream Processing Language provides a language that works with the Streams run-time framework to support streaming applications.

4. Which of the following options contains the main components of Hadoop? (Choose three)

A) MapReduce framework.
B) Text Analytics.
C) Apache Commons.
D) Hadoop Distributed File System (HDFS).

Solutions: